Artificial Intelligence Medical Compendium

Timely detection is crucial to improve outcomes in patients with cardiac amyloidosis (CA) by initiation of guideline-directed disease-modifying treatments. Although confirmatory bone scintigraphy is highly accurate for CA detection, identifying at-ri... read more 

Thyroid nodules are a prevalent condition in clinical practice, typically identified via ultrasound imaging with visual assessment by physicians. However, the ambiguous features of malignant nodules, their proximity to surrounding tissues, image nois... read more 

Skin cancer requires early and accurate detection for effective treatment. Automated image analysis can help identify skin lesions and support clinical diagnosis. This study aims to develop an efficient framework for accurate skin cancer detection us... read more 

In the context of rapid digitalization and intelligent governance, artificial intelligence (AI) technologies are increasingly embedded in organizational supervision and decision-making processes, fundamentally reshaping how supervisory boards process... read more 

BACKGROUND: Sepsis and thoracic aortic aneurysm (TAA) share pathological features of inflammation and vascular dysfunction, yet their molecular connections remain unclear. METHODS: Transcriptomic datasets of sepsis and TAA from GEO were integrated to... read more 

BACKGROUND: Skeletal muscle mass and quality are critical determinants of outcomes in hip fracture patients. However, most prior studies have relied on 2D cross-sectional area measurements, which may not accurately reflect the complex 3D muscle distr... read more 

Even if persistent stagnant weather does not directly damage power grid equipment, it may lead to prolonged insufficient output of renewable energy sources and further trigger power balance risks. This paper proposes a rapid risk assessment framework... read more 

Adolescent overweight and obesity are shaped by demographic, behavioral and psychosocial factors, but it remains unclear whether broader predictor information improves cross-sectional classification of current overweight/obesity status more consisten... read more 

Agricultural productivity in developing regions is significantly affected by plant diseases and pest infestations, making early detection and timely intervention essential for improving crop yield and food security. This study proposes a multimodal c... read more 

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